Northern goshawk optimization for optimal reactive power compensation in photovoltaic low-voltage radial distribution networks DOI Creative Commons

Shaikh Sohail Mohiyodin,

Rajesh Maharudra Patil,

Dr MS Nagaraj

et al.

Sustainable Operations and Computers, Journal Year: 2024, Volume and Issue: 5, P. 206 - 215

Published: Jan. 1, 2024

In recent years, photovoltaic systems (PVs) have been increasingly integrated into radial distribution networks (RDNs). However, network operators experience significant issues because they are sporadic. To reduce the load on main grid and improve performance, capacitor banks (CBs) frequently employed for power factor correction VAr compensation. a large number of CBs must be switched at once in accordance with variations PV generation to maintain feeder voltage regulation its performance. This study's optimization strategy CB control considers variety goals. Using seasonal profiles patterns, novel efficient northern goshawk (NGO) was created determine appropriate CBs. By resolving typical allocation problem EDNs comparing findings those literature, effectiveness NGO initially cross-verified. second stage, an is used maximize annual net savings while maintaining best possible over Considering PVs network, modified IEEE 33-bus test system evaluate suggested methodology.

Language: Английский

Research on Fault Section Location in an Active Distribution Network Based on Improved Subtraction-Average-Based Optimizer DOI Open Access

Jin-Jin Dai,

Ziyu Zhang, Shaoyong Li

et al.

Symmetry, Journal Year: 2025, Volume and Issue: 17(1), P. 107 - 107

Published: Jan. 12, 2025

The high penetration of distributed generation (DG) in the distribution system poses a challenge to protection techniques and strategies active networks, making it difficult adapt traditional methods fault diagnosis new power system. A method based on improved subtractive optimiser algorithm for is proposed address this situation. Firstly, localization model applicable DG grid connection constructed, which can effectively deal with impact dynamic switching DGs make up shortcomings single-power network model; secondly, solve model, original using multi-strategy fusion, subtraction-average-based optimizer (ISABO) obtained. Through test classical functions, its excellent solving performance decoupling ability are verified; finally, ISABO applied 33-node operate various complex conditions. results show that feasible location problem connect/disconnect state interconnection switch casting cutting multiple DGs. Compared SABO algorithm, positioning accuracy always be maintained at 100%, speed increased by 46.68%, symmetrically improving speed, accuracy, tolerance.

Language: Английский

Citations

1

Northern goshawk optimization for optimal reactive power compensation in photovoltaic low-voltage radial distribution networks DOI Creative Commons

Shaikh Sohail Mohiyodin,

Rajesh Maharudra Patil,

Dr MS Nagaraj

et al.

Sustainable Operations and Computers, Journal Year: 2024, Volume and Issue: 5, P. 206 - 215

Published: Jan. 1, 2024

In recent years, photovoltaic systems (PVs) have been increasingly integrated into radial distribution networks (RDNs). However, network operators experience significant issues because they are sporadic. To reduce the load on main grid and improve performance, capacitor banks (CBs) frequently employed for power factor correction VAr compensation. a large number of CBs must be switched at once in accordance with variations PV generation to maintain feeder voltage regulation its performance. This study's optimization strategy CB control considers variety goals. Using seasonal profiles patterns, novel efficient northern goshawk (NGO) was created determine appropriate CBs. By resolving typical allocation problem EDNs comparing findings those literature, effectiveness NGO initially cross-verified. second stage, an is used maximize annual net savings while maintaining best possible over Considering PVs network, modified IEEE 33-bus test system evaluate suggested methodology.

Language: Английский

Citations

1